I\'ve got an image that I\'ve scanned, but the white paper is not white on the screen. Is there a way to equalize the contract/brightness to make the background whiter?
To change brightness and contrast, you can multiply your pixel values and then add some constant to them. (More info on Changing the contrast and brightness of an image, in OpenCV docs.)
Using python and numpy:
import cv2 as cv
import numpy as np
img = cv.imread('b.jpg',0) # loads in grayscale
alpha = 1
beta = 0
res = cv.multiply(img, alpha)
res = cv.add(res, beta)
You can also just use:
res = cv.convertScaleAbs(img, alpha = alpha, beta = beta)
In your image, you can check in histogram that the maximum values are around 170 (actually, it is 172, if you use img.max()). So, you can multiply your image by 255/172 = 1.48 to increase brightness.
See the results below:
And the histograms, respectively: